RAG Systems
Our RAG systems combine powerful LLMs with dynamic retrieval from your private data—so agents don’t guess, they know. Context-aware, source-grounded, and always up to date.
RAG System Capabilities
Powerful features designed to solve your business challenges
Real-Time Knowledge Retrieval
Integrate live, up-to-date information from your private databases, documents, and knowledge bases into every AI response.
Source-Grounded Generation
Every answer is backed by citations and links to the original source, ensuring trust and auditability.
Context-Aware Reasoning
AI agents understand user context, session history, and business rules for highly relevant, personalized answers.
Enterprise-Grade Security
All retrieval and generation is performed within your secure environment, with full compliance and access controls.
Multi-Source Data Fusion
Combine structured and unstructured data from multiple sources—databases, files, APIs, and more.
Hallucination Prevention
Minimize AI hallucinations by grounding every response in real, retrieved data.
Seamless LLM Integration
Works with OpenAI, Anthropic, open-source LLMs, and custom models for maximum flexibility.
Scalable & Fast
Optimized for low-latency, high-throughput retrieval and generation at enterprise scale.
How RAG Works
A proven methodology for building context-aware, source-grounded AI
Connect Data Sources
Integrate your databases, files, APIs, and knowledge bases.
Index & Embed
Transform your data into searchable, vectorized knowledge.
Retrieve & Ground
Dynamically fetch relevant data for every user query.
Generate with LLM
LLM generates answers grounded in retrieved, trusted data.
Technical Capabilities
Advanced techniques and infrastructure for enterprise-grade RAG
Vector Search & Embeddings
Semantic search for highly relevant, context-aware retrieval.
Document Parsing
Extract knowledge from PDFs, Word, HTML, and more.
Hybrid Search
Combine keyword and semantic search for best results.
Citations & Source Linking
Every answer includes links to the original data.
Access Controls
Granular permissions for secure, compliant retrieval.
Multi-LLM Support
Integrate with OpenAI, Anthropic, open-source, or custom LLMs.
Common Use Cases
Where RAG delivers the most value
Enterprise Search
AI-powered search across all your business data, with citations.
Knowledge Management
Keep your team up to date with trusted, real-time answers.
Customer Support
Instant, accurate answers for support teams and chatbots.
Compliance & Audit
Ensure every answer is source-grounded and auditable.
Research & Analysis
Accelerate research with up-to-date, referenced information.
Agentic Automation
Enable AI agents to act on real, current business knowledge.
RAG Systems FAQ
Answers to common questions about Retrieval-Augmented Generation (RAG) systems.
Ready to Supercharge Your AI with RAG?
Empower your business with real-time, trusted, and context-aware AI.